Evidence map›Paper›PMID 26129844›Full record

ReviewBMC biology2015

Models in biology: lessons from modeling regulation of the eukaryotic cell cycle.

John J Tyson, Béla Novák

Abstract readReview
In one paragraph

Review in BMC biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. A phase oscillator model of cell cycles reveals nuclear density control in a branched fungal network.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Mitotic spindle: lessons from theoretical modeling.Molecular biology of the cell · 2021
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. BCNNM: A Framework forFrontiers in computational neuroscience · 2020
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

John J TysonDepartment of Biological Sciences, Virginia Polytechnic Institute & State University, Blacksburg, VA, 24061, USA.
Béla NovákOxford Centre for Integrative Systems Biology, Department of Biochemistry, University of Oxford, Oxford, OX1 3QU, UK. bela.novak@bioch.ox.ac.uk.

Funding

Stochastic Models of Cell Cycle Regulation in EukaryotesR01GM078989 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI PECCOUD, JEAN M, TYSON, JOHN J. · 2006 to 2018
$5.3M
Integrating Top-Down and Bottom-Up Models in Systems Biology with Application toR01GM095955 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI MURALI, T M · 2011 to 2015
$2.0M
Biotechnology and Biological Sciences Research Council BB/MM00354X/1NIGMS NIH HHS R01 GM078989NIGMS NIH HHS R01 GM095955NIGMS NIH HHS R01-GM095955
6 · The paper itself

Abstract

In this essay we illustrate some general principles of mathematical modeling in biology by our experiences in studying the molecular regulatory network underlying eukaryotic cell division. We discuss how and why the models moved from simple, parsimonious cartoons to more complex, detailed mechanisms with many kinetic parameters. We describe how the mature models made surprising and informative predictions about the control system that were later confirmed experimentally. Along the way, we comment on the 'parameter estimation problem' and conclude with an appeal for a greater role for mathematical models in molecular cell biology.

Indexed as

Models, BiologicalCell CycleCell DivisionEukaryotic CellsSignal Transduction

Identifiers

PMID26129844
PMCPMC4486427

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.